id
	14985
Url
	https://chloe.cnr.it/s/BiDiAr/item/14985
Resource template
	Conference Paper
Resource class
	fabio:ConferencePaper
Title
	Opinion observer: Analyzing and comparing opinions on the web
Creator
	Liu, Bing
	Hu, Minquing
	Cheng, Junsheng
Publisher
	Association for Computing Machinery
Date
	2005
Abstract
	The Web has become an excellent source for gathering consumer opinions. There are now numerous Web sites containing such opinions, e.g., customer reviews of products, forums, discussion groups, and blogs. This paper focuses on online customer reviews of products. It makes two contributions. First, it proposes a novel framework for analyzing and comparing consumer opinions of competing products. A prototype system called Opinion Observer is also implemented. The system is such that with a single glance of its visualization, the user is able to clearly see the strengths and weaknesses of each product in the minds of consumers in terms of various product features. This comparison is useful to both potential customers and product manufacturers. For a potential customer, he/she can see a visual side-by-side and feature-by-feature comparison of consumer opinions on these products, which helps him/her to decide which product to buy. For a product manufacturer, the comparison enables it to easily gather marketing intelligence and product benchmarking information. Second, a new technique based on language pattern mining is proposed to extract product features from Pros and Cons in a particular type of reviews. Such features form the basis for the above comparison. Experimental results show that the technique is highly effective and outperform existing methods significantly.
Is Part Of
	Proceedings of the 14th International World Wide Web Conference
Spatial Coverage
	New York
Cited by
	13604
Editor
	Ellis, Allan
	Hagino, Tatsuya
Doi
	https://doi.org/10.1145/1060745.1060797
Pages
	342-351
Homepage
	https://www.zotero.org/groups/5293298/bidiar/items/KCF27P6L/item-list

--